Stop dragging nodes. Start coding tableau prep dataflows...
Still buzzing from presenting on AI-driven BI migration at the NNE Tableau User Group Patrick Therriault alongside Andy Cotgreave last week. It was fascinating to contrast the potential of AI in migration (my topic)...
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I just challenged an AI to act as a Data Engineer. The Task: Look at a raw ER Diagram image (it had never seen this database before). Execute a complex business request: "Generate a VIP Corporate Client list. Exclude all returned orders and slow shipments. Aggregate total sales by customer, and retain only Corporate clients with over 5000 in spending."
Build a production-ready Tableau Prep flow. The Result: It used my open-source library, cwprep, to generate the entire ETL pipeline in seconds. It handled the multi-step logic—joins, anti-joins, filtering, and aggregation—without a single manual click.
Inspectable Python code Version-controllable logic 100% automated
The era of "Data Engineering as Code" for Tableau is here. Try it yourself: pip install cwprep https://lnkd.in/g7rYvZDF
Watch the full demo below. It's easy and quickly. Test and give me feedback.
#tableau #datafam #prep #ai #cwprep #dataflow #etl